Guangcan Liu

Computer Vision and Pattern Recognition · 2010–2015

A researcher in the Science corpus: 8 papers; trusts 368 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it; #3,910 of 21,575 by trust here, #3,613 by citations
• Computational Mechanics — 40 citations into it; #1,070 of 10,001 by trust here, #865 by citations
• Artificial Intelligence — 28 citations into it; #12,671 of 35,345 by trust here, #9,465 by citations
• Signal Processing — 19 citations into it; #1,825 of 7,572 by trust here, #4,900 by citations
• Cognitive Neuroscience — 9 citations into it
• Optimization & Training — 8 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it
• Biophysics — 7 citations into it

Whom Guangcan Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. E.J. Candes
2. Jianbo Shi
3. René Vidal
4. Roberto Tron
5. Ehsan Elhamifar
6. Jitendra Malik
7. Kuang-chih Lee
8. Jeffrey Ho
9. Yi Ma
10. John Wright

Who trusts Guangcan Liu overall

1. René Vidal
2. Changqing Zhang
3. Ehsan Elhamifar
4. Canyi Lu
5. Hui Li
6. Zhouchen Lin
7. Shuicheng Yan
8. Jianlong Wu
9. Xiaoqiang Lu
10. Xiaochun Cao

Papers from Guangcan Liu's perspective

Ordered by how strongly the researchers Guangcan Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set (2012) — 391 citations
• Robust Recovery of Subspace Structures by Low-Rank Representation (2010) — 3,507 citations
• Latent Low-Rank Representation for subspace segmentation and feature extraction (2011) — 677 citations
• Low-Rank Tensor Constrained Multiview Subspace Clustering (2015) — 487 citations
• Saliency Detection by Multitask Sparsity Pursuit (2012) — 199 citations
• Practical low-rank matrix approximation under robust L1-norm (2012) — 218 citations
• Multi-task low-rank affinity pursuit for image segmentation (2011) — 220 citations
• Robust Subspace Segmentation by Low-Rank Representation (2010) — 1,748 citations